* refactor GPT Config to allow dyn. properties
* make attribute_map a class attribute
* remove old code
* update unit test to test config: Add test for common properties setter
* update unit test to test config: Add test for common properties passed as parameters to __init__
* update to black code format
* Allow that setters are not defined for certain config classes
* update config classes to implement attribute_map
* bugfix lxmert config - id2labels was not defined when num_labels was set
* update broken configs - add attribute_maps
* update bart config
* update black codestyle
* update documentation on common config attributes
* update GPTJ config to new attribute map
* update docs on common attributes
* gptj config: add max_position_embeddings
* gptj config: format with black
* update speech to text 2 config
* format doc file to max_len 119
* update config template
* [docs] Update perplexity.rst to use negative log likelihood
Model `forward` returns the negative log likelihood. The document correctly defines and calculates perplexity, but the description and variable names are inconsistent, which might cause confusion.
* [docs] restyle perplexity.rst
* correct order of overflowing_tokens for slow tokenizer (issue fix#13148)
* python 3.9 requires sentencepiece version 0.1.94 or above
* slicing of ids fixed in truncated_sequence()
* Update setup.py
* Correct order of overflowing tokens for pair of sentences
* code reformatted
* Update tokenization_utils_base.py
* reformatting file
* test to check single_input added
* missing function restored
* test to check pair_input overflowing tokens order
* test to check pair_input overflowing tokens order
* test to check pair_input overflowing tokens order
* added an error message for pair of seq and longest_first strategy
* test for pair_input modified
* variable name corrected
* fixed a typo in error message
* requested changes implemented
* required test added
* Corrected the message to match test message
* added error message for Luke Tokenizer
* lost test recovered
* docstring for truncate_sequences and prepare_for_model updated
* docstring for luke tokenizer updated
* updated ENCODE_PLUS_ADDITIONAL_KWARGS_DOCSTRING
* aligned text and fixed puncuatations
* improved style and quality of code
* fixed error_msg in truncate_sequences
* replaced encode_plus method with regular call method
* clean up
* rephrased the docstring
* Update clip loss calculation
Hello, I'm the author of the blog you took the snippet from. I think this way of calculating is possibly slightly more accurate for calculation.
* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* add test in trainer and test tokenizer saving wi
th trainer
* quality
* reverse trainer changes
* replace test in test_trainer by a test for all the tokenizers
* format
* add can_save_slow_tokenizer attribute to all tokenizers
* fix Herbert
* format
* Change comment in error
* add comments and a new assert
* Update src/transformers/models/albert/tokenization_albert_fast.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* change ValueError barthez
* change ValueError BigBird
* change ValueError Camembert
* change ValueError Mbart50
* change ValueError Pegasus
* change ValueError ReFormer
* change ValueError T5
* change ValueError RoBERTa
* XLNET fast
* Update tests/test_tokenization_common.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* change `assert` into `self.assertIn`
* format
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* fix_torch_device_generate_test
* remove @
* up
* correct some bugs
* correct model
* finish speech2text extension
* up
* up
* up
* up
* Update utils/custom_init_isort.py
* up
* up
* update with tokenizer
* correct old tok
* correct old tok
* fix bug
* up
* up
* add more tests
* up
* fix docs
* up
* fix some more tests
* add better config
* correct some more things
"
* fix tests
* improve docs
* Apply suggestions from code review
* Apply suggestions from code review
* final fixes
* finalize
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* apply suggestions Lysandre and Sylvain
* apply nicos suggestions
* upload everything
* finish
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: your_github_username <your_github_email>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* added token_type_ids buffer to fix the issue #5664
* Handling the case that position_id buffer is not registered
* added token_type_ids buffer to fix the issue #5664
* modified to support device conversion when the model is traced
* registered buffer for position-ids to address issues similar to issue#5664
* added comment
* added the flag to prevent from adding the buffer into the state_dict
* Add the audio classification pipeline
* Remove autoconfig exception
* Mark ffmpeg test as slow
* Rearrange pipeline tests
* Add small test
* Replace asserts with ValueError
* Add option to add flax
* Add flax template for __init__.py
* Add flax template for .rst
* Copy TF modeling template
* Add a missing line in modeling_tf_... template
* Update first half of modeling_flax_..
* Update encoder flax template
* Copy test_modeling_tf... as test_modeling_flax...
* Replace some TF to Flax in test_modeling_flax_...
* Replace tf to np
some function might not work, like _assert_tensors_equal
* Replace remaining tf to np (might not work)
* Fix cookiecutter
* Add Flax in to_replace_... template
* Update transformers-cli add-new-model
* Save generate_flax in configuration.json
This will be read by transformers-cli
* Fix to_replace_... and cli
* Fix replace cli
* Fix cookiecutter name
* Move docstring earlier to avoid not defined error
* Fix a missing Module
* Add encoder-decoder flax template from bart
* Fix flax test
* Make style
* Fix endif
* Fix replace all "utf-8 -> unp-8"
* Update comment
* Fix flax template (add missing ..._DOCSTRING)
* Use flax_bart imports in template (was t5)
* Fix unp
* Update templates/adding_a_new_model/tests
* Revert "Fix unp"
This reverts commit dc9002a41d.
* Remove one line of copied from to suppress CI error
* Use generate_tensorflow_pytorch_and_flax
* Add a missing part
* fix typo
* fix flax config
* add examples for flax
* small rename
* correct modeling imports
* correct auto loading
* corrects some flax tests
* correct small typo
* correct as type
* finish modif
* correct more templates
* final fixes
* add file testers
* up
* make sure tests match template regex
* correct pytorch
* correct tf
* correct more tf
* correct imports
* minor error
* minor error
* correct init
* more fixes
* correct more flax tests
* correct flax test
* more fixes
* correct docs
* update
* fix
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
